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Published in:

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2211271


Registration ID:
504363

Page Number

c625-c628

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Title

Implementation of Facial Parts Detection Using Modified Viola Jones Algorithm

Abstract

Face recognition has become a popular research topic in recent years. It is a technique that is used to individually recognise or authenticate a person by equating and detecting patterns based on the person's face features. Face recognition methods are using a system that predicts if there is a match based on multiple locations on an individual's face. The face biometric is the only valid biometric feature to be employed in surveillance systems for subject identification because to its non-contact and distant sensing capabilities. Incorporating facial recognition capability into surveillance systems will suggestively increase the security of the monitoring region. Face recognition has emerged as a key topic of research in computer vision during the last 10 years or more, and it is also one of the most profitable applications of picture analysis and comprehension. This paper demonstrates how to recognise faces in images and detect facial characteristics in images. The identification of facial features such as the eyes, nose, mouth, and face is a critical role in this process. This system is used to recognize and detect the parts of the human facial factors in an image.

Key Words

Image Processing, Feature Extraction, Viola Jones Algorithm, CNN.

Cite This Article

"Implementation of Facial Parts Detection Using Modified Viola Jones Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.c625-c628, November-2022, Available :http://www.jetir.org/papers/JETIR2211271.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Implementation of Facial Parts Detection Using Modified Viola Jones Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppc625-c628, November-2022, Available at : http://www.jetir.org/papers/JETIR2211271.pdf

Publication Details

Published Paper ID: JETIR2211271
Registration ID: 504363
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: c625-c628
Country: Indore, MP, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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